Literature DB >> 28064084

Comparison of tri-axial accelerometers step-count accuracy in slow walking conditions.

Yuanyuan Feng1, Christopher K Wong2, Vandana Janeja3, Ravi Kuber4, Helena M Mentis5.   

Abstract

Accelerometers have shown great promise and popularity for monitoring gait. However, the accuracy of accelerometers for gait analysis in slow walking conditions is largely unknown. In this study, we compared the accuracy of three accelerometers recommended for gait analysis - Axivity AX3, APDM Opal, and the Actigraph wGT3X-BT, by holding the step-count algorithm constant. We evaluated device accuracy in four minutes of treadmill walking at the speeds of 0.9m/s, 1.1m/s, and 1.3m/s. We constructed a symbolization of the gait data to count the steps using Piecewise Aggregate Approximation and compared the estimated step counts with observer counted steps from video recordings. Our results highlight the variation between the performance of devices - the Axivity AX3 provides more accurate step counts than the other two devices. In this, we provide evidence for future scientific teams to make decisions on selecting accelerometers which can more accurately measure steps taken at slower walking speeds, and suggest ways to improve the design of algorithms and accelerometers.
Copyright © 2016 Elsevier B.V. All rights reserved.

Keywords:  Accelerometers; Device comparison; Piecewise Aggregate Approximation; Step count

Mesh:

Year:  2016        PMID: 28064084     DOI: 10.1016/j.gaitpost.2016.12.014

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


  12 in total

1.  Accurate Step Count with Generalized and Personalized Deep Learning on Accelerometer Data.

Authors:  Long Luu; Arvind Pillai; Halsey Lea; Ruben Buendia; Faisal M Khan; Glynn Dennis
Journal:  Sensors (Basel)       Date:  2022-05-24       Impact factor: 3.847

2.  Effects of a Participatory Ergonomics Intervention With Wearable Technical Measurements of Physical Workload in the Construction Industry: Cluster Randomized Controlled Trial.

Authors:  Mikkel Brandt; Pascal Madeleine; Afshin Samani; Jeppe Zn Ajslev; Markus D Jakobsen; Emil Sundstrup; Lars L Andersen
Journal:  J Med Internet Res       Date:  2018-12-19       Impact factor: 5.428

3.  Validity of accelerometry in step detection and gait speed measurement in orthogeriatric patients.

Authors:  Alexander M Keppler; Timur Nuritidinow; Arne Mueller; Holger Hoefling; Matthias Schieker; Ieuan Clay; Wolfgang Böcker; Julian Fürmetz
Journal:  PLoS One       Date:  2019-08-30       Impact factor: 3.240

4.  Validity of smartphones and activity trackers to measure steps in a free-living setting over three consecutive days.

Authors:  Christoph Höchsmann; Raphael Knaier; Denis Infanger; Arno Schmidt-Trucksäss
Journal:  Physiol Meas       Date:  2020-01-30       Impact factor: 2.833

5.  Relative difference among 27 functional measures in patients with knee osteoarthritis: an exploratory cross-sectional case-control study.

Authors:  K Vårbakken; H Lorås; K G Nilsson; M Engdal; A K Stensdotter
Journal:  BMC Musculoskelet Disord       Date:  2019-10-22       Impact factor: 2.362

6.  A Family-Based Lifestyle Intervention Focusing on Fathers and Their Children Using Co-Creation: Study Protocol of the Run Daddy Run Intervention.

Authors:  Julie Latomme; Philip J Morgan; Marieke De Craemer; Ruben Brondeel; Maïté Verloigne; Greet Cardon
Journal:  Int J Environ Res Public Health       Date:  2021-02-13       Impact factor: 3.390

7.  Wearables-based walking program in addition to usual physiotherapy care for the management of patients with low back pain at medium or high risk of chronicity: A pilot randomized controlled trial.

Authors:  Hosam Alzahrani; Martin Mackey; Emmanuel Stamatakis; Debra Shirley
Journal:  PLoS One       Date:  2021-08-26       Impact factor: 3.240

8.  Comparison of Outcomes Derived from the ActiGraph GT3X+ and the Axivity AX3 Accelerometer to Objectively Measure 24-Hour Movement Behaviors in Adults: A Cross-Sectional Study.

Authors:  Marieke De Craemer; Vera Verbestel
Journal:  Int J Environ Res Public Health       Date:  2021-12-27       Impact factor: 3.390

9.  Detecting Steps Walking at very Low Speeds Combining Outlier Detection, Transition Matrices and Autoencoders from Acceleration Patterns.

Authors:  Mario Muñoz-Organero; Ramona Ruiz-Blázquez
Journal:  Sensors (Basel)       Date:  2017-10-05       Impact factor: 3.576

10.  Highly Accurate Step Counting at Various Walking States Using Low-Cost Inertial Measurement Unit Support Indoor Positioning System.

Authors:  Van Thanh Pham; Duc Anh Nguyen; Nhu Dinh Dang; Hong Hai Pham; Van An Tran; Kumbesan Sandrasegaran; Duc-Tan Tran
Journal:  Sensors (Basel)       Date:  2018-09-20       Impact factor: 3.576

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